Research on the eLoran/GNSS Combined Positioning Algorithm and Altitude Optimization by Man Yang, Baorong Yan, Chaozhong Yang, Xiang Jiang, Shifeng Li

“…This paper investigates and optimizes the eLoran/GNSS combined positioning algorithm. The main research contributions are as follows: (a) Correcting the incorrect application of spatial coordinate transformation relations in the existing literature and re-deriving the eLoran/GNSS combined positioning algorithm based on the Andoyer–Lambert formula. …”
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Development of a Quantitative Assessment Algorithm for Operational Risks in Mining Engineering by Marina Nevskaya, Anna Shabalova, Liubov Nikolaichuk, Natalya Kirsanova

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Performance Comparison of Computationally Efficient Algorithms for Drone Localization on Embedded Systems by Muhammad Bilal Kadri

“…The main objective of this study is to assess each algorithm’s computational performance, particularly with regard to its time complexity. …”
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Eel and Grouper Optimizer improvement three-stage algorithm for photovoltaic MPPT by ZiJian Zhou, YanHong Fang

“…Firstly, the chaotic mapping is used to initialize the distribution of particles to improve the search performance. After the EGO as the main algorithm completed the first position update, the GOA was used to redistribute the particles, and finally the tumbling formula was introduced to further improve the ability of particles to jump out of the local optimal solution. …”
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Algorithm Optimization for Rockfalls Alarm System Based on Fiber Polarization Sensing by Saverio Pellegrini, Giuseppe Rizzelli, Marco Barla, Roberto Gaudino

“…Our findings show that the system can correctly sense all the experimentally generated rockfall phenomena and for all the installed fiber configurations, and it is also robust to false alarms, provided that the monitoring algorithm main parameters are properly set.…”
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Sigmoid-Function-Based Adaptive Pelican Optimization Algorithm for Global Optimization by A. F. S. Yussif, S. Adjei, B. E. Wilson

“… This paper introduces the Sigmoid-function-based Adaptive Pelican Optimization Algorithm (MPOA), an enhanced version of the traditional Pelican Optimization Algorithm (POA) aimed at improving the POA's performance. …”
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Load Estimation Algorithm Based on Extended Kalman Filter for Freight Train by DENG Hao

“…Researchers usually build complex train multi-particle motion models and design control algorithms, seeking to establish accurate control in the control system of freight trains. …”
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Modification of the genetic algorithm for comprehensive topological optimization of the synchronous motors rotor by T. I. Petrov

“…The main optimization criterion is an increase in torque while maintaining the mass of the most expensive material (permanent magnets). …”
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An Consistent Routing Policy Based on Ant Algorithm in Software Defined Networking by Yuwei Wang, Julong Lan, Xiaoqiang Xi, Ximian Fan, Yiming Jiang

“…Software defined networking updated data through distributing flow table to switches.But the installation of flow table had delay and may lead to wrong forwarding.An consistent routing policy based on ant algorithm was proposed.The inconsistent delay was introduced in routing parameter.The sequence of flow setup was adjusted through the controller,so as to avoid the inconsistency of the control logic in switches.Results show that,compared with Dijstra algorithm,when the inconsistency problem happens,the proposed policy has less actual delay and the packet lost rate and the wrong forwarding rate have been increasinglydecreased.…”
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Target counting algorithm via local signal recovery in sensor networks by Wen-tao JIANG, Li-min SUN, Jun-wei LV, Hong-song ZHU

“…In view of the deficiencies of existing targets counting algorithms in sensor networks,a local signal recovery based target counting algorithm(LSR)was proposed.LSR firstly searched for the possible local area where targets may exist,and then established a local signal recover model according to signal attenuation characteristic and nodes' distribu-tion.Finally,LSR sought the best target distribution estimation in each possible local area through the established model and obtained the target counting result by summarizing the estimations.Simulation results demonstrate that LSR pos-sesses good merits in counting precision,noise tolerance and energy consumption.…”
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Modified Variational Iteration Algorithm-II: Convergence and Applications to Diffusion Models by Hijaz Ahmad, Tufail A. Khan, Predrag S. Stanimirović, Yu-Ming Chu, Imtiaz Ahmad

“…The main advantage of the MVIA-II improvement is an auxiliary parameter which makes sure a fast convergence of the standard VIA-II iteration algorithm. …”
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Novel Intermode Prediction Algorithm for High Efficiency Video Coding Encoder by Chan-seob Park, Gwang-Soo Hong, Byung-Gyu Kim

“…Experimental result shows that the proposed algorithm achieves the average time-saving factor of 44.84% in the random access (RA) at Main profile configuration with the HEVC test model (HM) 10.0 reference software. …”
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On the results of testing some algorithms for calculating coagulation processes in dispersed systems by I. S. Afanasyev, B. A. Ashabokov

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A new binary grasshopper optimization algorithm for feature selection problem by Haouassi Hichem, Merah Elkamel, Mehdaoui Rafik, Maarouk Toufik Mesaaoud, Chouhal Ouahiba

“…The grasshopper optimization algorithm is one of the recently population-based optimization techniques inspired by the behaviours of grasshoppers in nature. …”
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Accuracy Comparison of Machine Learning Algorithms on World Happiness Index Data by Sadullah Çelik, Bilge Doğanlı, Mahmut Ünsal Şaşmaz, Ulas Akkucuk

“…Initially, the K-Means clustering algorithm is applied to group countries into four main clusters representing distinct happiness levels based on their socioeconomic profiles. …”
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Track Detection Algorithm Based on Trace Correlation Using Hough Transform by A. A. Monakov

“…Track detection is one of the main tasks to be solved in trajectory processing. …”
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Trust-Based Cooperative Spectrum Sensing Algorithm in Power Dedicated Network by Jinping Cao, Wei Li, Yiying Zhang

“…To fulfill the communication needs of smart distribution and utilization system,a novel power dedicated network has been developed.The system faces a problem that it may operate coexisted with a 230 data transceiver system.In order to keep the two systems operating stably and efficiently at the same time,a trust-based cooperative spectrum sensing algorithm was presented.According to the characteristics of user behavior,cognitive radio users were classified into fiduciary users,lapsed users and malicious users.By analyzing the relationship among detection result,credibility of cognitive radio users and communication channel signal-to-noise ratio,the credibility weight of cognitive radio users was given,and a trust-based cooperative spectrum sensing algorithm was proposed.The simulation results show that the algorithm improves detection performance effectively.…”
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Trust-Based Cooperative Spectrum Sensing Algorithm in Power Dedicated Network by Jinping Cao, Wei Li, Yiying Zhang

“…To fulfill the communication needs of smart distribution and utilization system,a novel power dedicated network has been developed.The system faces a problem that it may operate coexisted with a 230 data transceiver system.In order to keep the two systems operating stably and efficiently at the same time,a trust-based cooperative spectrum sensing algorithm was presented.According to the characteristics of user behavior,cognitive radio users were classified into fiduciary users,lapsed users and malicious users.By analyzing the relationship among detection result,credibility of cognitive radio users and communication channel signal-to-noise ratio,the credibility weight of cognitive radio users was given,and a trust-based cooperative spectrum sensing algorithm was proposed.The simulation results show that the algorithm improves detection performance effectively.…”
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Image Matching Algorithm for Transmission Towers Based on CLAHE and Improved RANSAC by Ruihua Chen, Pan Yao, Shuo Wang, Chuanlong Lyu, Yuge Xu

“…To address the lack of robustness against illumination and blurring variations in aerial images of transmission towers, an improved image matching algorithm for aerial images is proposed. The proposed algorithm consists of two main components: an enhanced AKAZE algorithm and an improved three-stage feature matching strategy, which are used for feature point detection and feature matching, respectively. …”
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The Application of Tree-Based Algorithms on Classifying Shunting Yard Departure Status by Niloofar Minbashi, Markus Bohlin, Carl-William Palmqvist, Behzad Kordnejad

“…Shunting yards are one of the main areas impacting the reliability of rail freight networks, and delayed departures from shunting yards can further also affect the punctuality of mixed-traffic networks. …”
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